Closed Yana715 closed 9 years ago
I've implemented code to bake out a CSV and to anonymize the addresses. However, I found that the data is too big to import into Google Spreadsheets. I'm going to try to split by year and see if that works as I feel strongly that Google Spreadsheets is a good way to go to make the data more explorable. We can also offer a download of the CSV with all records.
I'm going to try to get this done today.
Bonus from this work: Once I get clear of the immediate needs of this project, I should be able to push Python 3 support upstream to datamade's awesome usaddress package.
Even when I slice the data by year (using the initial_date
field) the largest file is ~25M which is still too big for Google Drive to convert into a spreadsheet. Raw CSV it is, but I think it still makes sense to upload it to Drive for revision control and overall ease of management.
I created a "Public Data" subfolder in Drive to hold the baked dispositions CSV.
This is done now. Closing.
Use a Google Spreadsheet for this as it allows for easy preview of the data as well as downloading in CSV (and other) formats.